Senior Machine Learning Engineer – Ads Predictions

What you'll do

• Design ML models for user interaction, CTR, and CVR predictions; develop and optimize retrieval algorithms.
• Work with large-scale datasets and cross-functional teams to improve models and deploy them to production.
• Design and run large-scale experiments to evaluate model architectures and learning strategies.

What they ask for

• 6+ years applying machine learning and statistical modeling at scale.
• Deep experience with neural network architectures and training pipelines using TensorFlow or PyTorch.
• Practical understanding of reinforcement learning, explore/exploit strategies, and bandit-based optimization; experience with high-volume data pipelines, A/B testing, and performance measurement at scale.
• Proficiency in Python and familiarity with SQL, Scala, or Java; Bachelor’s, or equivalent experience, in a related field.

Nice to have

• MS or PhD, or equivalent experience, in a related field.
• Information retrieval foundation, including query-document matching, embedding-based ranking, and learning-to-rank.

Pay

$216,200 and $324,800 USD base salary

Tools

TensorFlow, PyTorch, Python, SQL, Scala, Java, Transformers, DNNs

AI focus

Develop ad prediction and retrieval models, including deep learning, contextual bandits, multi-task learning, LLM-based ranking signals, reinforcement learning, and representation learning.